Zhenning Li

Orcid: 0000-0002-0877-6829

According to our database1, Zhenning Li authored at least 28 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression.
Remote. Sens., January, 2024

Context-aware trajectory prediction for autonomous driving in heterogeneous environments.
Comput. Aided Civ. Infrastructure Eng., January, 2024

World Models for Autonomous Driving: An Initial Survey.
CoRR, 2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.
CoRR, 2024

Trajectory Prediction for Autonomous Driving Using a Transformer Network.
CoRR, 2024

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
CoRR, 2024

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Phase-Shift-Modulated Resonant Two-Switch Boosting Switched-Capacitor Converter and Its Modulation Map.
IEEE Trans. Ind. Electron., August, 2023

Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer.
IEEE Trans. Intell. Veh., March, 2023

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
CoRR, 2023

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models.
CoRR, 2023

Fault diagnosis of rolling bearing using a transfer ensemble deep reinforcement learning method.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

2022
An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data.
Knowl. Based Syst., 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

A Deep Ensemble Learning Model for Rolling Bearing Fault Diagnosis.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2021
A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images.
CoRR, 2021

A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization.
CoRR, 2021

Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning.
CoRR, 2021

2020
Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks.
IEEE Trans. Veh. Technol., 2020

Analysis and Design of a Modified Triple-mode Resonant Switched-capacitor Converter with Hybrid Modulation Scheme.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Ladder Multi-resonant Switched-capacitor Converters with Extended Voltage Gain Range.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2019

Tube-fin Heat Exchanger Circuitry Optimization For Improved Performance Under Frosting Conditions.
Proceedings of the 13th International Modelica Conference, Regensburg, Germany, 2019

2011
Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2010
A stereo camera based full body human motion capture system using a partitioned particle filter.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Particle filter based human motion tracking.
Proceedings of the 11th International Conference on Control, 2010

2008
An Indoor Sensor Network System for Pursuit-Evasion Games.
Proceedings of the MSN 2008, 2008


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